Výsledky vyhledávání - "ANOVA F-statistic"

Using the ANOVA F-Statistic to Isolate Information-Revealing Near-Field Measurement Configurations for Embedded Systems

Autor: Ali E. Yilmaz, Vishnuvardhan V. Iyer

Publikováno v: 2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium.

The analysis of variance (ANOVA) F-statistic is proposed as a tool to isolate near-field measurement configurations that are sensitive to targeted chip processes in embedded systems. It is hypothesized that the desired measurement configurations have

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8bb33b97acc69659e8592fc6ef12c3e
https://doi.org/10.1109/emc/si/pi/emceurope52599.2021.9559360

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Using the ANOVA F-Statistic to Rapidly Identify Near-Field Vulnerabilities of Cryptographic Modules

Autor: Ali E. Yilmaz, Vishnuvardhan V. Iyer

Publikováno v: 2021 IEEE MTT-S International Microwave Symposium (IMS).

The analysis of variance (ANOVA) F-statistic is proposed as an indicator to accelerate the identification of nearfield vulnerabilities of cryptographic modules to electromagnetic side-channel analysis (EM SCA) attacks. It is hypothesized that optimal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbf22db89742fecedab30f0ab5deb238
https://doi.org/10.1109/ims19712.2021.9575028

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Conference

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Conference

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Akademický článek

A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation.

Autor: Präger, Maximilian^1,2 (AUTHOR) maximilian.praeger@tum.de, Kurz, Christoph³ (AUTHOR), Holle, Rolf² (AUTHOR), Maier, Werner² (AUTHOR), Laxy, Michael^1,4 (AUTHOR)

Publikováno v: BMC Medical Research Methodology. 3/17/2023, Vol. 23 Issue 1, p1-14. 14p.

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Dissertation/ Thesis

An investigation of the power of various alternatives to the ANOVA F statistic when population variances are unequal

Autor: Sorell, Mark Allan.

Call number: LD2668 .R4 STAT 1988 S67
Master of Science
Statistics

Externí odkaz: http://hdl.handle.net/2097/23905

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Akademický článek

Computational protein biomarker prediction: a case study for prostate cancer

Autor: Adam Bao-Ling, Devineni Raghu, Kasukurti Srinivas, Pothen Alex, Naik Dayanand N, Wagner Michael, Semmes O John, Wright George L

Publikováno v: BMC Bioinformatics, Vol 5, Iss 1, p 26 (2004)

Abstract Background Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models with clinical and biological significance. We discuss several

Externí odkaz: https://doaj.org/article/454f3639d40f4a6e97fcf2233fe1baad

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